code: def __init__(self, pb_model, model_weights, data_type=np.float32):
      self.net_def = pb_model
      self.model_weights = model_weights
      self.weight_bytes = bytearray(model_weights)
      self.data_type = data_type
      self._consts = {}
      for tensor in self.net_def.tensors:
          self._consts[tensor.name] = tensor
  
file_path: mace/tools/python/micro/micro_op_converter.py
imports: from transform.base_converter import ConverterUtil
  from transform.base_converter import DataFormat
  from transform.base_converter import MaceKeyword
  from transform.base_converter import MaceOp
  from utils.util import mace_check
  import numpy
label_desc: Use image node_id 1 to create a new MicroOpConverter object  with example: obj = MicroOpConverter(pb_model, model_weights, data_type)